Oleg B.

Python Data Engineer | Data Scientist | Data Visualization Expert

👋 Hi, I’m a 🏆 ⭐️⭐️⭐️⭐️⭐️Top Rated Python Data Engineer & Data Visualization Expert at GroupBWT - a 100+ person data engineering company and official AWS, Snowflake, Databricks & Anthropic partner, building enterprise data systems since 2009. I help companies turn fragmented data into reliable, scalable systems from data ingestion and transformation to modern data platforms, analytics, AI-ready infrastructure, and executive dashboards. My focus is not just on building pipelines that work today, but on designing data infrastructure that can scale as your data, sources, and business requirements grow. Here’s how I support our clients as a Python Big Data Engineer: ✅ Our ETL pipelines process over 100 million records monthly across major cloud data warehouses
 ✅ My solutions reduce manual reporting effort by up to 80% through end-to-end automation
 ✅ We build Python Data Engineer workflows for integrating and transforming complex datasets ✅ Every pipeline is tested and quality-checked to meet enterprise data standards 🔁 What I Do as a Python Azure Data Engineer and azure data engineer ⚙️ Data Engineering (Python AWS Data Engineer Core Work) 🔹 API & event-based ingestion using Python Data Engineer best practices 🔹 Python + SQL transformations 🔹 Data modeling, schema design, enrichment 🔹 ETL/ELT into Snowflake, Databricks, BigQuery with Python Data architecture 🔹 Monitoring, retries, observability & data quality testing for Python Data pipelines 🔹 CI/CD for pipelines & cloud cost optimization as a Python Data Engineer Platforms I’ve delivered as a Python Data Engineer process 100M+ records/month, integrate 30–80+ APIs, and power real-time BI environments. 📊 Data Visualization & BI (Python gcp Data Engineer Perspective) 🔹 I bridge raw data with business decisions as a Python gcp Data Engineer 🔹 Power BI, Looker Studio & Tableau dashboards connected by Python GCP Data Engineer pipelines 🔹 Executive KPI reporting built by a Python AWS Data Engineer 🔹 Semantic layer & metric standardization in Python Data Engineer systems 🔹 Real-time reporting (<5 min latency) enabled by Python Data Engineer architecture 🔹 BI performance optimization from a Python Data Engineer point of view 🔹 Data storytelling for leadership & operations powered by Python Data Engineer workflows My solutions as a Python Data Engineer reduce manual reporting effort by up to 70-80% and significantly improve forecasting accuracy. 🧩 Recent Experience (Python Data Engineer and Machine Learning Projects) 🔹 Retail & eCommerce Data Warehousing (Python Data Engineer) Built ingestion + normalization pipelines for 120+ eCommerce sources, syncing ~500K SKUs/day into Snowflake / BigQuery using Python Data Engineer architecture. 🔹 FinTech Ingestion & Reporting Layer (Python Data Engineer ) Delivered automated pipeline pulling from 30+ sources (APIs, DBs, files), built with Python Data Engineer logic for validation, transformation, and reporting. 🔹 Government ETL & Document Processing (Python Azure Data Engineer | Data Analyst) Automated processing of 10K+ documents/day using Python Azure Data Engineer workflows and Machine Learning: extraction, classification, mapping, and database loading. 🔹 Healthcare Data Normalization & Compliance (Python AWS Data Engineer | Data Analyst) Cleaned millions of records using Python AWS Data Engineer pipelines with Machine Learning, schema mapping, PII-aware handling, and reproducible transformations. 🔹 Large-scale Cloud Migrations (Python Data Engineer | Data Analyst) Migrated legacy systems into BigQuery/Snowflake using Python Data Engineer architecture with Machine Learning, incremental loads and automated pipelines. 💻 Tech Stack (Python Data Engineer | Data Analyst Toolkit) ⚙️Languages: Python, SQL, DAX, Power Query, PySpark, Scala, Bash/Shell, JavaScript, etc.
 ⚙️Data Engineering & Processing: PySpark, dbt, Airflow, Prefect, CDC, REST & GraphQL, etc.
 ⚙️Data Warehouses & Databases: Snowflake, Databricks, BigQuery, AWS, PostgreSQL, MSSQL
 ⚙️Cloud Platforms: AWS: S3, Glue, Lambda, CloudWatch, Athena, Redshift, BigQuery, Dataflow
 ⚙️Data Modeling & Architecture: Star schema, Snowflake schema, Lakehouse architecture, etc.
 ⚙️Monitoring & Data Quality: dbt, Prometheus, Grafana, AWS CloudWatch, GCP Monitoring, etc.
 ⚙️BI & Visualization: Power BI (Desktop, Service), Tableau, Looker Studio, Metabase, etc.
 ⚙️DevOps & CI/CD: Git, GitHub, GitLab CI, Docker, Terraform, etc. 🚀 If you need automated pipelines, clean data models, and executive-level dashboards - as a Python Data Engineer and Data Analyst I can help you build a robust system from end to end. ➡️ Invite me to your job and let’s design a scalable data strategy with a Python Data Engineer leading the way.